Organic Intelligence | Full-Stack Developer | 19+ Years Building Robust Systems | Freelance & Consulting for Startups and Enterprises

Experienced software engineer with a strong track record in designing, developing, and deploying scalable, high-traffic web and server applications. Holds a Bachelor’s degree and a Master’s degree in Computer Science, with a solid academic foundation and hands-on experience in both research and industry settings.
Throughout my career, I have contributed to diverse projects, from AI-driven solutions to mobile applications, with a focus on creating innovative, user-centric services that simplify and connect lives. My expertise spans the full software development lifecycle, from requirement engineering to deployment, and I am passionate about solving complex problems through scalable and efficient solutions.
I thrive in collaborative environments, leveraging my analytical thinking and problem-solving skills to deliver high-quality results. My work has consistently emphasized interdisciplinary collaboration, knowledge sharing, and a commitment to continuous learning.
Automation-first tools that tame information overload and keep creative flow intact.
A simple tensorflow image classifier to address an image classification problem of detecting the car body type.
A basic tensorflow based image classifier which classify ladies, gents and kids shoes.
A dockerized micro-service implementation of object detection using YOLOV v3.
A set of utility python scripts to gather semantics from enterprise data.
Designed and implemented a high-performance data processing and analysis system for a large-scale e-commerce platform handling billions of page views per month, ensuring scalability and reliability.
Authored a Master’s thesis in the field of semantic desktop research, focusing on the design and development of an AI-powered, context-aware workspace tailored for knowledge workers.
I have developed the backend software system integrated to an AI smart home providing help to elderly people with Dementia.
Text Retrieval and Search Engines, Applied Text Mining, Applied Plotting, Charting and Data Representation, Applied Machine Learning, Introduction to Data Science.
Process Modelling, Empirical Methods and Model Building, Product Line Engineering, Service Oriented Architecture, Security of Distributed Systems.
Data Structures, Algorithms, Programming Languages, Database Systems, Computer Networks, Microprocessors.